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claude-codescience

Babysitter alphafold-predictor

AlphaFold protein structure prediction skill with confidence assessment and model analysis

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/bioinformatics/skills/alphafold-predictor" ~/.claude/skills/a5c-ai-babysitter-alphafold-predictor && rm -rf "$T"
manifest: library/specializations/domains/science/bioinformatics/skills/alphafold-predictor/SKILL.md
tags
#protein-structure#alphafold#structure-prediction#confidence-assessment#model-analysis
source content

AlphaFold Predictor Skill

Purpose

Enable AlphaFold protein structure prediction with confidence assessment and model analysis.

Capabilities

  • Structure prediction execution
  • pLDDT confidence scoring
  • PAE analysis
  • Multi-chain complex prediction
  • Template-based refinement
  • ColabFold integration

Usage Guidelines

  • Review pLDDT scores for prediction confidence
  • Analyze PAE for domain boundaries
  • Predict complexes for multi-protein assemblies
  • Use templates when homologs exist
  • Validate predictions against experimental data
  • Document model versions and parameters

Dependencies

  • AlphaFold2
  • ColabFold
  • RoseTTAFold

Process Integration

  • Protein Structure Prediction (protein-structure-prediction)
  • Molecular Docking and Virtual Screening (molecular-docking)